identify-page-structure

To analyze page structure from scraped webpage content, this Skill applies a two-level analysis that first detects top-level section boundaries, then maps content sequences within each section to produce a structured outline for authoring.

Two-level section detection is a process that first identifies broad section boundaries in a scraped webpage, then analyzes nested content sequences within each section to survey available blocks for downstream planning.

You map section boundaries by detecting sections and surveying available blocks to generate neutral, descriptive outputs. These structured outputs directly inform content authoring decisions and block planning.

Yes, you can use YAML frontmatter inputs to process scraped webpage data. The Skill leverages these inputs to survey available blocks and produce structured outputs for block inventory and reuse.

Yes, the page structure analysis operates without external dependencies. It processes scraped webpage content directly to identify section boundaries and content sequences using its built-in two-level analysis logic.